Presentations
Posts focused on live presentations, typically by Curt Monash.
Clearing some of my buffer
I have a large number of posts still in backlog. For starters, there are ones based on recent visits with Aster, Greenplum, Sybase, Vertica, and a Very Large User. I suspect I’ll write more soon on Oracle as well. Plus there’s my whole future-of-online-media area. And quite a bit more will grow out of planned research.
So there are a whole lot of other worthy subjects I doubt I’ll be getting to any time soon. In some cases, of course, other people are doing great jobs of writing about same. Here are pointers to a few links that I am glad to recommend:
- I wrote recently that I’ve discovered a number of different in-memory OLAP engines. Cindi Howson far outdid that, writing at length for Intelligent Enterprise on in-memory analytics, in an article that seems to itself be a teaser for a longer, free white paper on the subject.
- CouchDB posted an eye-catching, risque slide presentation promoting CouchDB and, more generally, key-value stores, at least for internet applications. And yes, they’ve integrated MapReduce.
- Merv Adrian posted favorably about Birst, with special reference to its OEM efforts. As previously noted, I was highly unimpressed with Birst’s end-user BI story at the time of its September roll-out, and Jerome Pineau’s recent examination did nothing to reassure me. But perhaps OEM is a different matter.
- Merv also offers an interesting post about data integration upstart Expressor, and a highly favorable one about “visualization” vendor Tableau.
- Ann All interviewed Nigel Pendse, who grumped that BI features are overrated, and what end users really want is great query performance. I’m not so sure about the features side of that, but I’m hugely in agreement about the performance. That’s a big part of why the analytic DBMS industry is so vibrant. It’s also why in-memory OLAP is suddenly so hot.
Even more final version of my TDWI slide deck
My TDWI talk on How to Select an Analytic DBMS starts in less than an hour. So the latest version of my slide deck should prove truly final, unlike my prior two.
I won’t have printouts or other access to my notes, so those aren’t a good guide to the actual verbiage I’ll use.
| Categories: Benchmarks and POCs, Buying processes, Presentations | 4 Comments |
Final (for now) slides on how to select a data warehouse DBMS
I’ve now posted a final version of the slide deck* I first posted Wednesday. And I do mean final; TDWI likes its slide decks locked down weeks in advance, because they go to the printer to be memorialized on dead trees. I added or fleshed out notes on quite a few slides vs. the prior draft. Actual changes to the slides themselves, however, were pretty sparse, and mainly were based on comments to the prior post. Thanks for all the help!
*That’s a new URL. The old deck is still up too, for those morbidly curious as to what I did or didn’t change.
| Categories: Buying processes, Data warehousing, Presentations | 14 Comments |
Draft slides on how to select an analytic DBMS
I need to finalize an already-too-long slide deck on how to select an analytic DBMS by late Thursday night. Anybody see something I’m overlooking, or just plain got wrong?
Edit: The slides have now been finalized.
How to buy an analytic DBMS (overview)
I went to London for a couple of days last week, at the behest of Kognitio. Since I was in the neighborhood anyway, I visited their offices for a briefing. But the main driver for the trip was a seminar Thursday at which I was the featured speaker. As promised, the slides have been uploaded here.
The material covered on the first 13 slides should be very familiar to readers of this blog. I touched on database diversity and the disk-speed barrier, after which I zoomed through a quick survey of the data warehouse DBMS market. But then I turned to material I’ve been working on more recently – practical advice directly on the subject of how to buy an analytic DBMS.
I started by proposing a seven-part segmentation self-assessment: Read more
| Categories: Buying processes, Data warehousing, Presentations | 10 Comments |